Artificial Intelligence (AI) has been progressively engineered to generate (still and moving) imagery with an immediacy and aesthetic consistency that rivals and (in some contexts) supersedes human outputs from laboursome creative processes. Consistent with other modes of computer-assisted co-creativity, blended human–AI creativity demands human adaptability and a reconsideration of what constitutes ‘creativity’ in both process and output. This paper explores current applications and uses of AI in the realms of artistic and creative production to assess its impact for more traditional methods of creative production. Through in-depth interviews with 15 professionals active in diverse creative fields, we have gathered first-hand insights into current AI usage. The participants span multiple industries, including film, musical theatre, marketing, and design, showcasing a wide array of AI application methods within these sectors. Based on the interview outcomes, four modes of AI application in artistic creation are proposed: induction, simulation, imagination, and repetition. These are discussed in terms of their influence on creators’ workflows and idea prompting. Emphasis is given to ‘imagination’ and ‘repetition,’ which we argue underscores AI’s capabilities to transcend the boundaries of conventional creative practice to serve as an extension of creative thought. We contend that this kind of thinking is necessary to increase artist and creative professionals’ psychological thresholds toward granting proxy agency to a process of abstraction and reduction in order to produce compelling or effectual visual art.

Authors:
Zixuan Gong, University of Waikato, New Zealand
Gareth Schott, University of Waikato, New Zealand

About the Presenter(s)
Zixuan Gong is currently a PhD student at the School of Arts of the University of Waikato, New Zealand. His current research is on AI Extraction and Reconstruction of the Visual World:Research into the dynamics of the relationship between creative.

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